System manufacturer System Product Name
Geekbench AI Score
1528
Single Precision Score
810
Half Precision Score
2011
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abderzzeze |
| Upload Date | October 26 2025 10:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII GENE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
96% |
1692
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
3863
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
58% |
1126
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.69 IPS |
|
|
Face Detection (Q)
|
96% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2760
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
4178
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5693
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4264
5.48 IPS |
|
|
Style Transfer (Q)
|
87% |
7531
9.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1929
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
549
733.1 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1452
28.1 IPS |
